Big Data Analytics in Banking, Financial Services, and Insurance (BFSI) Market Report 2026

The big data analytics in banking, financial services, and insurance (bfsi) market size has grown rapidly in recent years. It will grow from $30.67 billion in 2025 to $35.43 billion in 2026 at a compound annual growth rate (CAGR) of 15.5%. The growth in the historic period can be attributed to increasing digital banking transactions, rising volumes of structured and unstructured financial data, expansion of online banking services, growing demand for data-driven risk management, early adoption of analytics for fraud detection.

The big data analytics in banking, financial services, and insurance (bfsi) market size is expected to see rapid growth in the next few years. It will grow to $62.5 billion in 2030 at a compound annual growth rate (CAGR) of 15.2%. The growth in the forecast period can be attributed to increasing integration of AI-driven analytics tools, rising focus on personalized financial services, expansion of real-time decision-making systems, growing investments in cloud-native analytics platforms, increasing regulatory emphasis on data transparency. Major trends in the forecast period include increasing adoption of real-time fraud analytics, rising use of predictive risk modeling, growing deployment of cloud-based analytics platforms, expansion of customer-centric data insights, enhanced focus on regulatory analytics automation.

The surge in digital transactions is expected to drive growth in the big data analytics market for banking, financial services, and insurance (BFSI). Digital transactions involve the electronic exchange of money or value, while interactions refer to the engagement between users and digital platforms during these processes. The growth in digital transactions is fueled by widespread smartphone adoption, which makes accessing financial services faster and more convenient. Big data analytics in BFSI supports these transactions by providing real-time insights that enhance security, personalize services, and improve customer experiences. For example, in January 2024, the European Central Bank reported that contactless card transactions in the first half of 2023 increased by 24.3% to 20.9 billion, compared to the same period in 2022.

Companies in the BFSI big data analytics market are developing advanced solutions such as customer data platforms (CDPs) to unify data from multiple sources and deliver real-time insights for personalization, risk management, and decision-making. CDPs aggregate customer information into a single profile, making it accessible for analytics and engagement. For instance, in November 2024, FinBox Tech Private Limited, an India-based fintech company, launched an Account Aggregator-based CDP to provide banks and non-banking financial companies with unified customer insights. This platform helps overcome fragmented data, supports financial health assessment, and enables use cases such as automated rules, customer cohort creation, early warning systems, portfolio monitoring, credit line management, and personalized cross-sell and up-sell strategies.

In December 2023, M2P Fintech, an India-based system software company, acquired Goals101 for $30 million. The acquisition allows M2P to integrate Goals101’s technology with its existing financial services portfolio, expanding capabilities and offering more comprehensive, integrated solutions. This integration aims to improve operational efficiency, enhance service delivery, and support the creation of innovative financial products. Goals101 is an India-based provider of big data analytics solutions for the BFSI sector.

Major companies operating in the big data analytics in banking, financial services, and insurance (bfsi) market are Microsoft Corporation, Dell Technologies Inc., Accenture plc, International Business Machines Corporation, Oracle Corporation, Salesforce Inc., Hewlett Packard Enterprise Company, Tata Consultancy Services Limited, Capgemini SE, Cognizant Technology Solutions Corporation, Infosys Limited, Wipro Limited, Genpact Limited, SAS Institute Inc., Hitachi Vantara LLC, Clarivate Plc, Snowflake Inc., Palantir Technologies Inc., Teradata Corporation, Informatica LLC, Fair Isaac Corporation, MicroStrategy Incorporated, Cloudera Inc.

North America was the largest region in the big data analytics in banking, financial services, and insurance (BFSI) market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the big data analytics in banking, financial services, and insurance (bfsi) market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the big data analytics in banking, financial services, and insurance (bfsi) market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The big data analytics in banking, financial services, and insurance (BFSI) market consists of revenues earned by entities by providing services such as credit scoring and loan analytics, portfolio management analytics, customer segmentation, and real-time transaction monitoring. The market value includes the value of related goods sold by the service provider or included within the service offering. The big data analytics in banking, financial services, and insurance (BFSI) market also includes sales of data storage systems, real-time data processing systems, fraud detection appliances, and data visualization appliances. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

This product will be delivered within 1-3 business days.